Other packages > Find by keyword >

TCA  

Tensor Composition Analysis
View on CRAN: Click here


Download and install TCA package within the R console
Install from CRAN:
install.packages("TCA")

Install from Github:
library("remotes")
install_github("cran/TCA")

Install by package version:
library("remotes")
install_version("TCA", "1.2.1")



Attach the package and use:
library("TCA")
Maintained by
Elior Rahmani
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-05-22
Latest Update: 2021-02-14
Description:
Tensor Composition Analysis (TCA) allows the deconvolution of two-dimensional data (features by observations) coming from a mixture of heterogeneous sources into a three-dimensional matrix of signals (features by observations by sources). The TCA framework further allows to test the features in the data for different statistical relations with an outcome of interest while modeling source-specific effects; particularly, it allows to look for statistical relations between source-specific signals and an outcome. For example, TCA can deconvolve bulk tissue-level DNA methylation data (methylation sites by individuals) into a three-dimensional tensor of cell-type-specific methylation levels for each individual (i.e. methylation sites by individuals by cell types) and it allows to detect cell-type-specific statistical relations (associations) with phenotypes. For more details see Rahmani et al. (2019) <doi:10.1038/s41467-019-11052-9>.
How to cite:
Elior Rahmani (2019). TCA: Tensor Composition Analysis. R package version 1.2.1, https://cran.r-project.org/web/packages/TCA. Accessed 10 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:27), 1.0.0 (2019-05-22 16:10), 1.1.0 (2019-11-16 18:10)
Other packages that cited TCA R package
View TCA citation profile
Other R packages that TCA depends, imports, suggests or enhances
Complete documentation for TCA
Functions, R codes and Examples using the TCA R package
Some associated functions: refactor . tca . tcareg . tcasub . tensor . test_data . 
Some associated R codes: TCA.R . model_fit.R . refactor.R . utils.R .  Full TCA package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

eoR  
Data Management Package (Exposure and Occurrence Data in R)
This data management package provides some helper classes for publicly available data sources (HMD, ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
keyATM  
Keyword Assisted Topic Models
Fits keyword assisted topic models (keyATM) using collapsed Gibbs samplers. The keyATM combines the ...
Download / Learn more Package Citations See dependency  
RPEnsemble  
Random Projection Ensemble Classification
Implements the methodology of "Cannings, T. I. and Samworth, R. J. (2017) Random-projection ensemble ...
Download / Learn more Package Citations See dependency  
adespatial  
Multivariate Multiscale Spatial Analysis
Tools for the multiscale spatial analysis of multivariate data. Several methods are based on the us ...
Download / Learn more Package Citations See dependency  

28,989

R Packages

247,686

Dependencies

76,729

Author Associations

28,990

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA